{"id":"https://openalex.org/W2000857250","doi":"https://doi.org/10.1145/2644866.2644882","title":"P-GTM","display_name":"P-GTM","publication_year":2014,"publication_date":"2014-09-16","ids":{"openalex":"https://openalex.org/W2000857250","doi":"https://doi.org/10.1145/2644866.2644882","mag":"2000857250"},"language":"en","primary_location":{"id":"doi:10.1145/2644866.2644882","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2644866.2644882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 ACM symposium on Document engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075906466","display_name":"Owen Davison","orcid":null},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Owen Davison","raw_affiliation_strings":["Dalhousie University, Halifax, NS, Canada"],"affiliations":[{"raw_affiliation_string":"Dalhousie University, Halifax, NS, Canada","institution_ids":["https://openalex.org/I129902397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006598688","display_name":"Abidalrahman Mohammad","orcid":null},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Abidalrahman Mohammad","raw_affiliation_strings":["Dalhousie University, Halifax, NS, Canada"],"affiliations":[{"raw_affiliation_string":"Dalhousie University, Halifax, NS, Canada","institution_ids":["https://openalex.org/I129902397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013989913","display_name":"Evangelos Milios","orcid":"https://orcid.org/0000-0001-5549-4675"},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Evangelos E. Milios","raw_affiliation_strings":["Dalhousie University, Halifax, NS, Canada"],"affiliations":[{"raw_affiliation_string":"Dalhousie University, Halifax, NS, Canada","institution_ids":["https://openalex.org/I129902397"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075906466"],"corresponding_institution_ids":["https://openalex.org/I129902397"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06655666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"81","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7962433099746704},{"id":"https://openalex.org/keywords/n-gram","display_name":"n-gram","score":0.7940942645072937},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5546370148658752},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5309628248214722},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.5195549130439758},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5097803473472595},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.49898433685302734},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4778270721435547},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.46629565954208374},{"id":"https://openalex.org/keywords/gram","display_name":"Gram","score":0.41475600004196167},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34222304821014404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3030904233455658},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13200822472572327},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.12927258014678955},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09891363978385925},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0840640664100647}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7962433099746704},{"id":"https://openalex.org/C117884012","wikidata":"https://www.wikidata.org/wiki/Q94489","display_name":"n-gram","level":3,"score":0.7940942645072937},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5546370148658752},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5309628248214722},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.5195549130439758},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5097803473472595},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.49898433685302734},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4778270721435547},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.46629565954208374},{"id":"https://openalex.org/C161369605","wikidata":"https://www.wikidata.org/wiki/Q41803","display_name":"Gram","level":3,"score":0.41475600004196167},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34222304821014404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3030904233455658},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13200822472572327},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.12927258014678955},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09891363978385925},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0840640664100647},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C523546767","wikidata":"https://www.wikidata.org/wiki/Q10876","display_name":"Bacteria","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2644866.2644882","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2644866.2644882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 ACM symposium on Document engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306077","display_name":"Boeing","ror":"https://ror.org/04sm5zn07"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W104209573","https://openalex.org/W133424112","https://openalex.org/W141208674","https://openalex.org/W2080747411","https://openalex.org/W2121184547","https://openalex.org/W2159024459","https://openalex.org/W2159179292","https://openalex.org/W2171294248","https://openalex.org/W2222068751","https://openalex.org/W2293617401"],"related_works":["https://openalex.org/W2906970013","https://openalex.org/W3126081632","https://openalex.org/W2625039379","https://openalex.org/W2088254117","https://openalex.org/W4254593385","https://openalex.org/W2790582133","https://openalex.org/W1901380241","https://openalex.org/W311963822","https://openalex.org/W2789473152","https://openalex.org/W3132255358"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"P-GTM,":[3],"a":[4,21,93,98],"privacy-preserving":[5],"text":[6,25,91,111],"similarity":[7,26,45],"algorithm":[8,122],"that":[9],"extends":[10],"the":[11,30,35,43,57,61,65,71,114,118,121],"Google":[12,17,36,72],"Tri-gram":[13,18],"Method":[14,19],"(GTM).":[15],"The":[16,80],"is":[20],"high-performance":[22],"unsupervised":[23],"semantic":[24,44],"method":[27],"based":[28],"on":[29,51],"use":[31],"of":[32,89,100,110,120],"context":[33],"from":[34,70],"Web":[37,73],"1T":[38,74],"n-gram":[39,75],"dataset.":[40],"P-GTM":[41,63,96],"computes":[42],"between":[46],"two":[47],"input":[48],"bag-of-words":[49],"documents":[50],"public":[52],"cloud":[53],"hardware,":[54],"without":[55],"disclosing":[56],"documents'":[58],"contents.":[59],"Like":[60],"GTM,":[62],"requires":[64],"uni-gram":[66],"and":[67,103,123,129],"tri-gram":[68],"lists":[69,85],"dataset":[76],"as":[77],"additional":[78,84],"inputs.":[79],"need":[81],"for":[82],"these":[83],"makes":[86],"private":[87,108],"computation":[88,109],"GTM":[90],"similarities":[92,112],"challenging":[94],"problem.":[95],"uses":[97],"combination":[99],"pre-computation,":[101],"encryption,":[102],"randomized":[104],"preprocessing":[105],"to":[106],"enable":[107],"using":[113,127],"GTM.":[115],"We":[116],"discuss":[117],"security":[119],"quantify":[124],"its":[125],"privacy":[126],"standard":[128],"real":[130],"life":[131],"corpora.":[132]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}